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I__. - International Military Testing Association

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however, would be to determine whether or not special classification testing is warranted.<br />

Since job performance can frequently be improved by selecting individuals with particular<br />

skills and/or by training particular skills, the trade-offs implied by testing for selection<br />

versus training would have to considered.<br />

Two research efforts are currently planned to develop the tailored classification<br />

batteries. The first effort will expand upon the Cognitive Requirements Model (CRM)<br />

developed by Hay Systems, Inc. to include spatial and psychomotor elements. This new<br />

model, CRM+, will employ decision flow diagrams to guide job experts through the<br />

elements of the model. Attributes identified in this manner will be compared across jobs<br />

to determine the similarity and differences in job requirements. The same information will<br />

also be used to identify classification tests most likely to improve the person-job match<br />

within the job set.<br />

The second effort to develop tailored test batteries will build upon the research<br />

conducted in the Army’s Synthetic Validation Project (SynVal) by the American Institutes<br />

for Research with Personnel Decisions Research Inc. and the Human Resources Research<br />

Organization. Subject matter experts will be asked either to identify directly the importance<br />

and level of attributes for jobs or to identify job tasks from the Army Task Taxonomy.<br />

Either visual inspection of the resulting profiles or more formal clustering algorithms will<br />

then be used to compare the profiles. The profile elements may then be matched up with<br />

the predictor tests. The identified tasks can be linked, using the results of SynVal, to<br />

attributes and to the tests which measure those attributes (or the directly identified<br />

attributes may themselves be used to identify the appropriate predictor tests).<br />

An important consideration of both these efforts will be to develop valid procedures<br />

that are credible and can be employed by non-scientists. Indeed, it is expected that any<br />

additional testing that may be adopted by the Army will be administered, scored and used<br />

in the assignment decision-making process by Army personnel during basic training, prior<br />

to the start of Advanced Individual Training. Therefore, the procedures must be<br />

straightforward, non-technical, and cost-efficient. A demonstrable value for administering<br />

any additional tests (i.e, improved job performance, reduced training time, lower attrition)<br />

to off-set the costs and inconvenience of specialized testing must be clearly evidenced.<br />

The third JSERT research focus is on the development of an appraisal feedback system<br />

for the JSERT “system” itself. The goal of the feedback system is to monitor the<br />

performance of JSERT, not the job performance of individuals per se. Although ratings<br />

of performance or training needs may be solicited from supervisors and individual soldiers,<br />

the ratings would be used for research purposes or for operational changes to the JSERT<br />

system, not to affect the careers of the rated individuals. The concern is to set up a<br />

monitoring system so that if jobs change over time or there is a shift in the overall abilities<br />

of soldiers being enlisted, the Army would have some consistent means of evaluating the<br />

change, documenting the impact on job performance and notifying the system that some<br />

action is needed.<br />

It may be, for example, that initial job analyses did not include some ability which,<br />

alihough not currently measured by the Army, turns out to be important for job<br />

performance. The Army may wish to specifically select individuals with this ability, but<br />

presently there is no mechanism in place that would even uncover the requirement for that<br />

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